• Title/Summary/Keyword: air traffic management

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A Predictive Model of Situation Awareness with ACT-R

  • Kim, Junghwan;Myung, Rohae
    • Journal of the Ergonomics Society of Korea
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    • v.35 no.4
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    • pp.225-235
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    • 2016
  • Objective: The aim of this study is to model all levels of situation awareness (SA), which would be able to predict situation awareness quantitatively. Background: When measuring situation awareness, directly measuring SA methods such as SAGAT and SART have been utilized. Several approaches (cognitive modeling approaches) were introduced to model SA but level 3 SA was not completed. For real-life situation, however, it is necessary to detect the problematic level of SA rather than overall SA. Therefore, we proposed a new model of all levels of SA in this study. Method: In order to model all levels of SA, this study chose factors in ACT-R architecture through literature review. ATC (Air Traffic Control)-related simulation task was video-taped to analyze human behaviors in order to model all levels of SA including level 3. Results: As a result, regression analyses show that cognitive activities (neural activations) represented for all levels of SA were highly correlated with SAGAT. Conclusion: In conclusion, neural activations in ACT-R could be proved to be effective to model all levels of SA. Application: Our SA model could be used to predict all levels of SA quantitatively without directly measuring the SA of operators.

High-Power LED Thermal Spreaders Design Using Pulsating Heat Pipe (진동형 히트파이프를 이용한 고출력 LED 조명 방열 설계)

  • Jang, Jeong-Wan;Kim, Jong-Soo;Ha, Soo-Jung
    • Proceedings of the SAREK Conference
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    • 2009.06a
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    • pp.1379-1384
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    • 2009
  • High power light emitting diode(LEDs), a strong candidate for the next generation general illumination applications are of interest. With major advantages of power saving, increased life expectancy and faster response time over traditional incandescent bulb, the LEDs are rapidly taking over many applications such as LCD backlighting, traffic light, automotive lighting, signage, etc. The increased electrical currents used to drive the LEDs have focused more attention on the thermal management because the efficiency and reliability of the solid-state lighting devices strongly depend on successful thermal management. There exist some problems that are caused by heat generation in the LED package, such as wire breakage, yellowing of epoxy resin, lifted chip caused by reflow of thermal paste chip attach and interfacial separation between LED package and silicon resin. The goal of this study is to analyze high power LED thermal properties of using pulsating heat pipe.

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A Proposal for the Upgrade of the Current Operating System of the Seoul's Atmospheric Monitoring Network Based on Statistical Analysis (서울시 대기 측정소간 상관관계를 감안한 측정소의 운용 방향 개선을 위한 제언)

  • Bae, Min Suk;Jung, Chang Hoon;Ghim, Young Sung;Kim, Ki Hyun
    • Journal of Korean Society for Atmospheric Environment
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    • v.29 no.4
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    • pp.447-458
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    • 2013
  • The present operating system for the atmospheric monitoring network in the city of Seoul, Korea, has been established since the late 90s by the Korean Ministry of Environment (KMOE). In this research, it was evaluated by the multi-statistical approaches through combinations of time series analysis, correlation matrix, and multiple cluster analysis. Finally, road traffic including resuspended materials can be one of the main sources of particulate matter in the atmosphere. Based on its importance, it will be significant challenges in quantitative evaluation of its contribution to airborne concentrations. The future directions for their amendments such as a new management plan for the source of road dust (including car emissions) were devised and proposed based on the statistical judgements derived in this research.

DEVELOPMENT OF A CONTROL SYSTEM FOR AN AUTOMATIC ROAD SIGN REMOVING EQUIPMENT USING HIGH PRESSURE WATER-JET (초고압수를 이용한 노면표시 자동제거 장비개발을 위한 제어시스템 및 노면최적조건에 대한 연구)

  • Kwon Soon-Wook;Kim Kyoon-Tai;Han Jae-Goo
    • Korean Journal of Construction Engineering and Management
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    • v.5 no.4 s.20
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    • pp.139-146
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    • 2004
  • Resent removal work for road signs has been labor intensive and required times since it has been done manually using shaving type equipment. While traditional process is conducting, there are traffic jams caused by the passing control, and happened unexpected accidents to workers working at dangerous road circumstance. Besides, in current shaving method, there are high potentialities on the air pollution as well as the explosive accident occurred by using a propane gas. So, as an alternative, we have studied to develop the automatic erasing equipment made up with a high pressure water-jet system and automatic control system, mobile system; Wate-rjet system consists of an intensifier and nozzles to give a high pressure and spray on the sign, and automatic control system is composed of one axis robot using a hydraulic servo actuator controlled by a lever, And as a mobile system, a truck plays an important role for the transport of equipment and the forward movement in a removal process. In this paper, we have analyzed the characteristics of road signs and have investigated current erasing methods in the field. And we have organized and designed automatic erasing equipment, and we have made a basic experiment to find out the optimal spray condition as like the spray distance, spray angle and injection pressure.

Aviation Safety Mandatory Report Topic Prediction Model using Latent Dirichlet Allocation (LDA) (잠재 디리클레 할당(LDA)을 이용한 항공안전 의무보고 토픽 예측 모형)

  • Jun Hwan Kim;Hyunjin Paek;Sungjin Jeon;Young Jae Choi
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.31 no.3
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    • pp.42-49
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    • 2023
  • Not only in aviation industry but also in other industries, safety data plays a key role to improve the level of safety performance. By analyzing safety data such as aviation safety report (text data), hazard can be identified and removed before it leads to a tragic accident. However, pre-processing of raw data (or natural language data) collected from each site should be carried out first to utilize proactive or predictive safety management system. As air traffic volume increases, the amount of data accumulated is also on the rise. Accordingly, there are clear limitation in analyzing data directly by manpower. In this paper, a topic prediction model for aviation safety mandatory report is proposed. In addition, the prediction accuracy of the proposed model was also verified using actual aviation safety mandatory report data. This research model is meaningful in that it not only effectively supports the current aviation safety mandatory report analysis work, but also can be applied to various data produced in the aviation safety field in the future.

T&E Process for Safety-Critical CNS/ATM Systems (안전필수항행시스템의 시험평가 프로세스)

  • Kang, Ja-Young;Kim, Mu-Geun;Kim, Young-Hoon;Lim, In-Kyu
    • Journal of Advanced Navigation Technology
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    • v.21 no.1
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    • pp.50-57
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    • 2017
  • Recently, safety-critical aviation system development programs promoted domestically have been terminated in the middle stage or they have not been put to practical use at the final stage. The program failure may be caused by various factors, but this study focused on imperfect test and evaluation(T&E) procedures. In general, T&E process of a safety-critical system must be distributed throughout the entire life-cycle of the system, have a continuity in phases, and can be implemented in a variety of ways depending on the maturity of the system development and acquisition strategy. This paper aims to present a new strategy by analyzing the domestic and overseas T&E processes to reduce the risk of domestic safety-critical CNS/ATM system development program and increase the success rate of program. First, we discuss the verification and validation techniques for safety-critical systems, analyze the T&E procedures of advanced institutes and the domestic situation, and then compare the domestic and overseas T&E processes to complement the imperfect testing procedure.

Study on UAV Flight Patterns and Simulation Modelling for UTM (저고도 무인기 교통관리 체계에서 무인기 비행패턴 분류 및 시뮬레이션 모형 개발)

  • Jung, Kyu-sur;Kim, Se-Yeon;Lee, Keum-Jin
    • Journal of Advanced Navigation Technology
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    • v.22 no.1
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    • pp.13-19
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    • 2018
  • In this paper, we classified a flight pattern of unmanned aerial vehicle(UAV) which will be operating in UTM system and analyzed its flight pattern by purpose of use. Flight patterns of UAV are sorted into three patterns which are circling, monitoring and delivery. We considered four cases of industry areas using UAV which are agriculture, infrastructure monitoring, public safety & security(p.s.s) and delivery. It is necessary to build a simulation model as a verification tool for applying the flight pattern according to the use of UAV to the real UTM system. Therefore, we propose the simulation model of UAV with updating states over time. We applied simulation to UAV monitoring flight pattern, and confirmed that the flight was done by the given input data. The simulation model will be used in the future to verify that the UAV has various flight patterns and can operate safely and efficiently for the intended use.

Robust Filtering Algorithm for Improvement of Air Navigation System (항행시스템 성능향상을 위한 강인한 필터링 알고리즘)

  • Cho, Taehwan;Kim, Jinhyuk;Choi, Sangbang
    • Journal of Advanced Navigation Technology
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    • v.19 no.2
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    • pp.123-132
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    • 2015
  • Among various fields of the CNS/ATM, the surveillance field which includes ADS-B system, MLAT system, and WAM system is implemented. These next generation systems provide superior performance in tracking aircrafts. However, They still have error. In this paper, filtering algorithm is proposed in order to enhance aircraft tracking performance of ADS-B, MLAT, and WAM systems. The proposed method is a Robust Interacting Multiple Model filter, called Robust IMM filter, that improves IMM filter. The Robust IMM filter can not only improves the aircraft tracking performance but also track aircraft continually using estimates calculated from the filter when data losses occur. The simulation results of the proposed aircraft tracking methods show that the filtering data provides a better performance up to an average of 19.21%.

Effect of Sakurajima Volcanic Eruption (July 16, 2018) on PM2.5 Concentration in Busan under Summertime North Pacific High Pressure Condition (여름철 북태평양고기압 하에서 사쿠라지마 화산 분출(2018년 7월 16일)이 부산지역 초미세먼지 농도에 미치는 영향)

  • Jeon, Byung-Il
    • Journal of Environmental Science International
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    • v.31 no.6
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    • pp.503-513
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    • 2022
  • This research investigated the effect of the eruption of Japan Sakurajima volcano on the concentration of ultrafine particle when the north Pacific high pressure exists in the Busan in summer. As a result of analyzing the forward trajectory using the HYSPLIT model, the air parcel from Sakurajima volcano passed through the sea in front of Busan at 1500 LST on July 17, 24 hours after the volcanic eruption. As a result of analyzing the PM10 and PM2.5 concentrations in the Busan for two days from July 16 to 17, 2018, the Sakurajima eruption in Japan, it can be seen that there was a high increase in PM10 and PM2.5 concentrations compared to the previous day. As a result of analyzing the backward trajectory, the air mass that reached Busan at 1300 LST on July 17, 2018 has moved near the Sakurajima volcano at 1,500 m, 2,000 m, and 3,000 m. The concentration of SO42- in PM2.5, the concentration of all three stations in Busan showed a sharp increase from 1000 LST on July 17th. Looking at the NH4+ concentration in PM2.5, it shows a very similar variation trend to SO42-, and the correlation coefficient between the two components is 0.96 for Jangrimdong and Yeonsandong, and 0.85 for Busan New Port. Looking at the NO3- concentration in PM2.5, the same high concentrations as SO42 and NH4+ were not observed in the afternoon of July 17th.

Spatial-temporal Assessment and Mapping of the Air Quality and Noise Pollution in a Sub-area Local Environment inside the Center of a Latin American Megacity: Universidad Nacional de Colombia - Bogotá Campus

  • Fredy Alejandro, Guevara Luna;Marco Andres, Guevara Luna;Nestor Yezid, Rojas Roa
    • Asian Journal of Atmospheric Environment
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    • v.12 no.3
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    • pp.232-243
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    • 2018
  • The construction, development and maintenance of an economically, environmentally and socially sustainable campus involves the integration of measuring tools and technical information that invites and encourages the community to know the actual state to generate positive actions for reducing the negative impacts over the local environment. At the Universidad Nacional de Colombia - Campus $Bogot{\acute{a}}$, a public area with daily traffic of more than 25000 people, the Environmental Management Bureau has committed with the monitoring of the noise pollution and air quality, as support to the campaigns aiming to reduce the pollutant emissions associated to the student's activities and campus operation. The target of this study is based in the implementation of mobile air quality and sonometry monitoring equipment, the mapping of the actual air quality and noise pollution inside the university campus as a novel methodology for a sub-area inside a megacity. This results and mapping are proposed as planning tool for the institution administrative sections. A mobile Kunak$^{(R)}$ Air & OPC air monitoring station with the capability to measure particulate matter $PM_{10}$, $PM_{2.5}$, Ozone ($O_3$), Sulfur Oxide ($SO_2$), Carbon Monoxide (CO) and Nitrogen Oxide ($NO_2$) as well as Temperature, Relative Humidity and Latitude and Longitude coordinates for the data georeferenciation; and a sonometer Cirrus$^{(R)}$ 162B Class 2 were used to perform the measurements. The measurements took place in conditions of academic activity and without it, with the aim of identify the impacts generated by the campus operation. Using the free code geographical information software QGIS$^{(R)}$ 2.18, the maps of each variable measured were developed, and the impacts generated by the operation of the campus were identified qualitative and quantitively. For the measured variables, an increase of around 21% for the $L_{Aeq}$ noise level and around 80% to 90% for air pollution were detected during the operation period.